MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
Specifications
- Provider
- MiniMax
- Type
- Vendor / proprietary
- Modality
- text->text
- Context window
- 1M
- Knowledge cutoff
- 2024-06-30
- Released
- June 17, 2025
Capabilities
Input: textOutput: text
Strengths
frequency_penaltyinclude_reasoningmax_tokenspresence_penaltyreasoningrepetition_penaltyseedstoptemperaturetool_choicetoolstop_ktop_p
